Senior AI Engineer — RAG Applications (Azure / Kubernetes) JP053929
Tasks
- Build RAG pipeline
- Build evaluation harness for model performance
- Create Helm charts for AKS deployments
- Deploy services on Azure Kubernetes Service
- Design prompt templates and guardrails
- Develop ingestion pipelines
- Handle citations in outputs
- Implement document chunking and embedding generation
- Implement security trimming and ACL propagation
- Integrate Jahia CMS and SharePoint connectors
- Manage Azure resources with Terraform
- Manage Vector Stores
- Optimize retrieval and reranking
- Orchestrate LLM requests
- Set up Azure DevOps CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
API Management | Access Control | Access Control List | Azure | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | Azure OpenAI Service | CI/CD | Content Safety | Helm | Infrastructure as Code | Kubernetes Service | LLM orchestration | OpenAI Service | Prompt engineering | Python | RAG | Security Trimming | Terraform | Vector Databases | Vector indexing | “as-code”
Education
N/A
Roles
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